Results 61 to 70 of about 36,186 (330)

An Automatic Abstractive Text Summarization System

open access: yesDhaka University Journal of Applied Science and Engineering, 2022
Abstractive text summarization is one of the most interesting problems in the research field of Natural Language Processing. Recent advances in sequence to sequence model have made it possible to apply new approaches for abstractive text summarization and perform significantly.
Nasid Habib Barna, Hasnain Heickal
openaire   +1 more source

Design and Prototyping of Topology‐Optimized, Additively Manufactured Lightweight Components for Space Robotic Systems: A Case Study

open access: yesAdvanced Engineering Materials, EarlyView.
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos   +11 more
wiley   +1 more source

Automatic Text Summarization of COVID-19 Research Articles Using Recurrent Neural Networks and Coreference Resolution

open access: yesFrontiers in Biomedical Technologies, 2020
Purpose: Pandemic COVID-19 has created an emergency for the medical community. Researchers require extensive study of scientific literature in order to discover drugs and vaccines.
Mahsa Afsharizadeh   +2 more
doaj   +1 more source

NLP Based Text Summarization Using Semantic Analysis [PDF]

open access: yes, 2016
Due to an exponential growth in the generation of textual data, the need for tools and mechanisms for automatic summarization of documents has become very critical.
Agrawal, G. (Geet)   +4 more
core  

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

Enhancing biomedical text summarization using semantic relation extraction. [PDF]

open access: yesPLoS ONE, 2011
Automatic text summarization for a biomedical concept can help researchers to get the key points of a certain topic from large amount of biomedical literature efficiently.
Yue Shang   +3 more
doaj   +1 more source

Personalized video summarization by highest quality frames [PDF]

open access: yes, 2014
In this work, a user-centered approach has been the basis for generation of the personalized video summaries. Primarily, the video experts score and annotate the video frames during the enrichment phase.
Darabi, K, Ghinea, G
core   +2 more sources

Interaction between Molten Al‐Killed Mn–B Steel and Carbon‐Bonded MgO Refractories Based on Recyclates

open access: yesAdvanced Engineering Materials, EarlyView.
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé   +5 more
wiley   +1 more source

Enhancing extractive text summarization using natural language processing with an optimal deep learning model

open access: yesAIMS Mathematics
Natural language processing (NLP) performs a vital function in text summarization, a task targeted at refining the crucial information from the massive quantity of textual data.
Abdulkhaleq Q. A. Hassan   +5 more
doaj   +1 more source

Extractive summarization of Malayalam documents using latent Dirichlet allocation: An experience

open access: yesJournal of Intelligent Systems, 2022
Automatic text summarization (ATS) extracts information from a source text and presents it to the user in a condensed form while preserving its primary content.
Kondath Manju   +2 more
doaj   +1 more source

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